Evidence map›Paper›PMID 31325016›Full record

ArticleJournal of neurology2019

The clinical and radiological profile of primary lateral sclerosis: a population-based study.

Eoin Finegan, Rangariroyashe H Chipika, Stacey Li Hi Shing, Mark A Doherty, Jennifer C Hengeveld, Alice Vajda, Colette Donaghy, Russell L McLaughlin, Niall Pender, Orla Hardiman and 1 more

Abstract read
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In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  14. Article
  15. Primary Lateral Sclerosis: An Overview.Journal of clinical medicine · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Eoin FineganComputational Neuroimaging Group, TBSI, Trinity College Dublin, Dublin, Ireland.
Rangariroyashe H ChipikaComputational Neuroimaging Group, TBSI, Trinity College Dublin, Dublin, Ireland.
Stacey Li Hi ShingComputational Neuroimaging Group, TBSI, Trinity College Dublin, Dublin, Ireland.
Mark A DohertyComplex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Jennifer C HengeveldComplex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Alice VajdaComplex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Colette DonaghyWestern Health and Social Care Trust (WHSCT), Northern Ireland, UK.
Russell L McLaughlinComplex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Niall PenderComputational Neuroimaging Group, TBSI, Trinity College Dublin, Dublin, Ireland.
Orla HardimanComputational Neuroimaging Group, TBSI, Trinity College Dublin, Dublin, Ireland.
Peter BedeComputational Neuroimaging Group, TBSI, Trinity College Dublin, Dublin, Ireland. bedep@tcd.ie.ORCID http://orcid.org/0000-0003-0492-4772
Trinity College Dublin · IEWestern Health and Social Care Trust · GB

Funding

Andrew Lydon scholarship 2018Health Research Board HRB EIA-2017-019Irish Institute of Clinical Neuroscience IICN 2016Iris O'Brien Foundation 2016Motor Neurone Disease Association MCLAUGHLIN/OCT15/957-799Motor Neurone Disease Association (GB) 957-799Research Motor Neuron 2017Science Foundation Ireland 15/SPP/3244Science Foundation Ireland 17/CDA/4737
6 · The paper itself

Abstract

backgroundPrimary lateral sclerosis is a progressive upper-motor-neuron disorder associated with markedly longer survival than ALS. In contrast to ALS, the genetic susceptibility, histopathological profile and imaging signature of PLS are poorly characterised. Suspected PLS patients often face considerable diagnostic delay and prognostic uncertainty.

objectiveTo characterise the distinguishing clinical, genetic and imaging features of PLS in contrast to ALS and healthy controls.

methodsA prospective population-based study was conducted with 49 PLS patients, 100 ALS patients and 100 healthy controls using genetic profiling, standardised clinical assessments and neuroimaging. Whole-brain and region-of-interest analyses were undertaken to evaluate patterns of grey and white matter degeneration.

resultsIn PLS, disease burden in the motor cortex is more medial than in ALS consistent with its lower limb symptom-predominance. PLS is associated with considerable cerebellar white and grey matter degeneration and the extra-motor profile of PLS includes marked insular, inferior frontal and left pars opercularis pathology. Contrary to ALS, PLS spares the postcentral gyrus. The body and splenium of the corpus callosum are preferentially affected in PLS, in contrast to the genu involvement observed in ALS. Clinical measures show anatomically meaningful correlations with imaging metrics in a somatotopic distribution. PLS patients tested negative for C9orf72 repeat expansions, known ALS and HSP-associated genes.

conclusionsMultiparametric imaging in PLS highlights disease-specific motor and extra-motor involvement distinct from ALS. In a condition where limited post-mortem data are available, imaging offers invaluable pathological insights. Anatomical correlations with clinical metrics confirm the biomarker potential of quantitative neuroimaging in PLS.

Indexed as

AgedAmyotrophic Lateral SclerosisBrainC9orf72 ProteinFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMotor Neuron DiseaseNeuroimagingProspective StudiesC9orf72 ProteinC9orf72 protein, humanAmyotrophic lateral sclerosisGeneticsMRINeuroimagingPrimary lateral sclerosis

Identifiers

PMID31325016
OpenAlexW2963034437

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.